A Novel Framework for Classification of Benign and Malignant Data Units Based on Learning Methods

Provided by:International Journal of Advance Research in Science and Engineering (IJARSE)

Topic:Data Management

Format:PDF

Here in this paper, the authors are working to classify the benign and malignant data from a set of data units purely based on the learning data. Using this approach they can classify the data and that is very helpful in the medical world to identify the illness at the early stages. However the existing techniques like Support Vector Machine (SVM) do not provide the better efficiency in extracting the harmful data and so the proposed system takes the help of Naive Bayesian technique which will classify the data into two groups: data that will purely fall under the malignant unit, and data accordingly will be segregated into the benign and malignant area.